Business intelligence dashboard assembly tool with indications of relationships among content elements

ABSTRACT

In one example, a method comprises rendering a dashboard assembly user interface comprising a canvas section and a resource section, the resource section comprising one or more resource content elements, and the canvas section comprising one or more dashboard content elements. The dashboard assembly user interface enables resource content elements to be selectably added to the canvas section as dashboard content elements in response to user inputs, thereby configuring a business intelligence dashboard. The method further comprises searching for relationships between information associated with the one or more resource content elements and information associated with the one or more dashboard content elements; and, for a first resource content element from among the resource content elements that has a relationship with a first dashboard content element from among the dashboard content elements, rendering a visual indication of the relationship between the first resource content element and the first dashboard content element.

This application is a continuation of Ser. No. 13/341,647, filed on Dec.30, 2011, entitled BUSINESS INTELLIGENCE DASHBOARD ASSEMBLY TOOL WITHINDICATIONS OF RELATIONSHIPS AMONG CONTENT ELEMENTS, the entire contentof which is incorporated herein by reference.

TECHNICAL FIELD

The invention relates to business intelligence systems, and moreparticularly, to dashboard environments for business intelligencesystems.

BACKGROUND

Enterprise software systems are typically sophisticated, large-scalesystems that support many, e.g., hundreds or thousands, of concurrentusers. Examples of enterprise software systems include financialplanning systems, budget planning systems, order management systems,inventory management systems, sales force management systems, businessintelligence tools, enterprise reporting tools, project and resourcemanagement systems, and other enterprise software systems.

Many enterprise performance management and business planningapplications require a large base of users to enter data that thesoftware then accumulates into higher level areas of responsibility inthe organization. Moreover, once data has been entered, it must beretrieved to be utilized. The system may perform mathematicalcalculations on the data, combining data submitted by many users. Usingthe results of these calculations, the system may generate reports forreview by higher management. Often these complex systems make use ofmultidimensional data sources that organize and manipulate thetremendous volume of data using data structures referred to as datacubes.

Each data cube, for example, includes a plurality of hierarchicaldimensions having levels and members for storing the multidimensionaldata.

Reporting and analysis end user products (typically referred to asBusiness Intelligence, or BI, tools) allow users to author reports andperform data exploration and analysis on a myriad of data sources, suchas multi-dimensional data structures, relational databases, flat files,Extensible Markup Language (“XML”) data, data streams, and unorganizedtext and data. BI tools may be used to prepare and aggregate individualreports and analyses by executing queries on underlying data sources,and to present those reports and analyses to a user-accessible formatsuch as a BI dashboard environment.

SUMMARY

In general, examples disclosed herein are directed to a businessintelligence (BI) dashboard assembly tool.

In one example, a method includes rendering a dashboard assembly userinterface comprising a canvas section and a resource section, theresource section comprising one or more resource content elements, andthe canvas section comprising one or more dashboard content elements.The dashboard assembly user interface enables resource content elementsto be selectably added to the canvas section as dashboard contentelements in response to user inputs, thereby configuring a businessintelligence dashboard. The method further includes searching forrelationships between information associated with the one or moreresource content elements and information associated with the one ormore dashboard content elements. The method further includes, for afirst resource content element from among the resource content elementsthat has a relationship with a first dashboard content element fromamong the dashboard content elements, rendering a visual indication ofthe relationship between the first resource content element and thefirst dashboard content element.

In another embodiment, a computing system includes one or moreprocessors; one or more computer-readable data storage devices; and anenterprise software application, stored on the one or morecomputer-readable data storage devices for execution by the one or moreprocessors, and configured for assembling a business intelligencedashboard. The enterprise software application includes programinstructions for rendering a dashboard assembly user interfacecomprising a canvas section and a resource section, the resource sectioncomprising one or more resource content elements, and the canvas sectioncomprising one or more dashboard content elements. The dashboardassembly user interface enables resource content elements to beselectably added to the canvas section as dashboard content elements inresponse to user inputs, thereby configuring a business intelligencedashboard. The enterprise software application further includes programinstructions for searching for relationships between informationassociated with the one or more resource content elements andinformation associated with the one or more dashboard content elements.The enterprise software application further includes for a firstresource content element from among the resource content elements thathas a relationship with a first dashboard content element from among thedashboard content elements, program instructions for rendering a visualindication of the relationship between the first resource contentelement and the first dashboard content element.

In another embodiment, a computer-readable storage medium includesexecutable instructions stored on a non-transitory computer-readablestorage medium. The executable instructions are configured for causingone or more programmable processors to render a dashboard assembly userinterface comprising a canvas section and a resource section, theresource section comprising one or more resource content elements, andthe canvas section comprising one or more dashboard content elements,wherein the dashboard assembly user interface enables resource contentelements to be selectably added to the canvas section as dashboardcontent elements in response to user inputs, thereby configuring abusiness intelligence dashboard. The executable instructions areconfigured for causing the one or more programmable processors to searchfor relationships between information associated with the one or moreresource content elements and information associated with the one ormore dashboard content elements. For a first resource content elementfrom among the resource content elements that has a relationship with afirst dashboard content element from among the dashboard contentelements, the executable instructions are configured for causing one ormore programmable processors to render a visual indication of therelationship between the first resource content element and the firstdashboard content element.

The details of one or more embodiments of the invention are set forth inthe accompanying drawings and the description below. Other features,objects, and advantages of the invention will be apparent from thedescription and drawings, and from the claims.

BRIEF DESCRIPTION OF DRAWINGS

FIG. 1 is a block diagram illustrating an example enterprise having acomputing environment in which a plurality of users interacts with anenterprise business intelligence system and data sources accessible overa public network.

FIG. 2 is a block diagram illustrating one embodiment of an enterprisebusiness intelligence system with a configurable business intelligencedashboard and a business intelligence dashboard assembly tool.

FIG. 3 illustrates an example business intelligence dashboard assemblytool with visual indications of relationships among resource contentelements in a resource section and dashboard content elements in acanvas section.

FIG. 4 illustrates another example business intelligence dashboardassembly tool with visual indications of relationships among resourcecontent elements in a resource section and dashboard content elements ina canvas section.

FIG. 5 illustrates another example business intelligence dashboardassembly tool with visual indications of relationships among resourcecontent elements in a resource section and dashboard content elements ina canvas section.

FIG. 6 illustrates another example business intelligence dashboardassembly tool with visual indications of relationships among resourcecontent elements in a resource section and dashboard content elements ina canvas section.

FIG. 7 is a flowchart illustrating example operation of a businessintelligence dashboard assembly tool searching for and providing visualindications of relationships among resource content elements in aresource section and dashboard content elements in a canvas section.

FIG. 8 is a block diagram of a computing device that may run a businessintelligence dashboard assembly tool.

DETAILED DESCRIPTION

FIG. 1 illustrates an example context in which techniques disclosedherein may be used. FIG. 1 is a block diagram illustrating an exampleenterprise 4 having a computing environment 10 in which a plurality ofusers 12A-12N (collectively, “users 12”) may interact with an enterprisebusiness intelligence system 14. In the system shown in FIG. 1,enterprise business intelligence system 14 is communicatively coupled toa number of computing devices 16A-16N (collectively, “computing devices16”) by an enterprise network 18. Users 12 interact with theirrespective computing devices to access enterprise business intelligencesystem 14. Users 12, computing devices 16A-16N, enterprise network 18,and enterprise business intelligence system 14 may all be either in asingle facility or widely dispersed in two or more separate locationsanywhere in the world, in different examples.

For exemplary purposes, various examples of the techniques of thisdisclosure may be readily applied to various software systems, includingenterprise business intelligence systems or other large-scale enterprisesoftware systems. Examples of enterprise software systems includeenterprise financial or budget planning systems, order managementsystems, inventory management systems, sales force management systems,business intelligence tools, enterprise reporting tools, project andresource management systems, and other enterprise software systems.

Typically, users 12 may use a user-configurable business intelligence(BI) dashboard to view and manipulate data via their respectivecomputing devices 16. This may include data from any of a wide varietyof sources, including from multidimensional data structures andrelational databases within enterprise 4, as well as data from a varietyof external sources that may be accessible over public network 15.Multidimensional data structures are “multidimensional” in that eachmultidimensional data element is defined by a plurality of differentobject types, where each object is associated with a differentdimension. Users 12 may, for example, retrieve data related to storesales by entering a name of a sales person, a store identifier, a date,a product, and a price at which the product was sold, into theirrespective computing devices 16.

Enterprise users 12 may use a variety of different types of computingdevices 16 to run a business intelligence dashboard and to interact withenterprise business intelligence system 14 via enterprise network 18.For example, an enterprise user 12 may run a business intelligencedashboard and interact with enterprise business intelligence system 14using a laptop computer, desktop computer, or the like, running a webbrowser, such as Internet Explorer™ from Microsoft Corporation ofRedmond, Wash. Alternatively, an enterprise user may use a smartphone orsimilar device, running a business intelligence dashboard in either aweb browser or a dedicated smartphone application for interacting withenterprise business intelligence system 14. In either case, a businessdashboard running on a user's computing device 16 may access variousdata sources from within enterprise business intelligence system 14, aswell as any of a variety of external network resources 17A-17N(collectively, “network resources 17”) and any of a variety of externaldata sources 19A-19N (collectively, “external data sources 19”) throughpublic network 15.

Enterprise network 18 and public network 15 may represent anycommunication network, such as a packet-based digital network like aprivate enterprise intranet or a public network like the Internet. Inthis manner, computing environment 10 can readily scale to suit largeenterprises. Enterprise users 12 may directly access enterprise businessintelligence system 14 via a local area network, or may remotely accessenterprise business intelligence system 14 via a virtual privatenetwork, remote dial-up, or similar remote access communicationmechanism.

FIG. 2 is a block diagram illustrating in further detail portions of oneembodiment of an enterprise business intelligence system 14. In thisexample implementation, a single client computing device 16A is shownfor purposes of example and includes a business intelligence (BI)dashboard 24, a business intelligence (BI) dashboard assembly tool 22that can be used to create and configure BI dashboard 24, and one ormore client-side enterprise software applications 26 that utilize andmanipulate multidimensional data. Business intelligence (BI) dashboardassembly tool 22 may be rendered within a general web browserapplication, within a locally hosted application or mobile application,or other user interface. Business intelligence (BI) dashboard assemblytool 22 may be rendered using any combination of application softwareand data local to the computing device it's being rendered on, andremotely hosted in one or more application servers or other remoteresources.

BI dashboard assembly tool 22 may include separate program elements fromBI dashboard 24, program elements that form part of BI dashboard 24, ora combination of the two. BI dashboard assembly tool 22 may be used toassemble content elements onto a dashboard canvas that represents adashboard under the process of assembly or user-configuration. Thesecontent elements may include report elements, e.g., for businessintelligence reports generated with enterprise business intelligencesystem 14, as well as utility widgets or other data elements that may besourced from external resources through public network 15. These contentelements may be referred to as resource content elements when they aregenerally available as resources but not yet placed in a dashboard or ina canvas section as a dashboard under assembly; they may also bereferred to as dashboard content elements once they are placed within acanvas section or a finalized dashboard. Adding a content element to thecanvas section may be considered equivalent in some cases to adding itto the dashboard, with the caveat that the canvas section may be furtheredited or modified before exiting the dashboard assembly mode andfinalizing the dashboard (at least for the time being). A contentelement may be said to be added to the dashboard in that it is added tothe canvas section.

FIG. 2 depicts additional detail for enterprise business intelligencesystem 14 and how it may be used to generate reports that may then beavailable to BI dashboard assembly tool 22 as resource content elementsto potentially add to BI dashboard 24. Any icon, widget, or other userinterface element that represents, provides data from, or links to anytype of resource, such as a BI report, a software application, adatabase, a spreadsheet, a data structure, a flat file, ExtensibleMarkup Language (“XML”) data, a data stream, unorganized text or data,or other type of file or resource, may be generically referred to as a“resource content element”.

As depicted in FIG. 2, enterprise business intelligence system 14 isimplemented in accordance with a three-tier architecture: (1) one ormore web servers 14A that provide web applications 23 with userinterface functions; (2) one or more application servers 14B thatprovide an operating environment for enterprise software applications 25and a data access service 20; and (3) database servers 14C that provideone or more data sources 14C. The data sources 14C may includetwo-dimensional databases and/or multidimensional databases, i.e. cubes.The data sources may be implemented using a variety of vendor platforms,and may be distributed throughout the enterprise. As one example, thedata sources 14C may be multidimensional databases configured for OnlineAnalytical Processing (OLAP). As another example, the data sources 14Cmay be multidimensional databases configured to receive and executeMultidimensional Expression (MDX) queries of some arbitrary level ofcomplexity. As yet another example, the data sources 14C may betwo-dimensional relational databases configured to receive and executeSQL queries, also with an arbitrary level of complexity.

The enterprise applications 26 on computing device 16A may issuebusiness queries to enterprise business intelligence system 14 to buildreports. Enterprise business intelligence system 14 includes a dataaccess service 20 that provides a logical interface to the data sources14C. Computing device 16A may transmit query requests through enterprisenetwork 18 to data access service 20. Data access service 20 may, forexample, execute on the application servers intermediate to theenterprise applications 25 and the underlying data sources 14C. Dataaccess service 20 retrieves a query result set from the underlying datasources, in accordance with query specifications. Data access service 20intercepts or receives queries, e.g., by way of an API presented toenterprise applications 25. Data access service 20 may then return thisresult set to enterprise applications 25, 26 as BI reports that are madeavailable to BI dashboard assembly tool 22 on computing device 16A.

FIG. 3 depicts a dashboard assembly user interface 40A for a BIdashboard assembly tool 22 running on a computing device 16A as depictedin FIGS. 1 and 2, in one example. BI dashboard assembly tool 22, runningon a computing device 16A, may render dashboard assembly user interface40A on a monitor or other display device comprised in or communicativelyconnected to computing device 16A. Dashboard assembly user interface 40Aincludes canvas section 44A and resource section 42A. Canvas section 44Aserves as a dashboard canvas for assembling or configuring a BIdashboard, while resource section 42A presents resource content elements46A, 48A, 50A, 52A (i.e. resource content elements 46A-52A) from avariety of different sources as options that may be added to canvassection 44A. While four specific resource content elements 46A-52A aredepicted in FIG. 3, these are merely representative of thousands,millions, or any number of resource content elements representingresources from any of a wide variety of sources that BI dashboardassembly tool 22 may have access to and present within resource section42A. A user may perform searches of various resources, such as datasources 38 of enterprise BI system 14 and external data sources 19 asdepicted in FIGS. 1 and 2, to find potential resources to be presentedas resource content elements in resource section 42A.

Various data resources from different sources, such as BI reports orexternal software applications, may have their own readily availableelements or representations, such as icons, widgets, or other userinterface elements, that may either simply indicate the identity of theresources or may actively render some form of useful data within theelement, that BI dashboard assembly tool 22 may render as resourcecontent elements in resource section 42A. BI dashboard assembly tool 22may also render a custom resource content element or modify an existingrepresentational element to represent any available resource from anysource. BI dashboard assembly tool 22 provides certain modifications tothe renderings of resource content elements 46A-52A to provideadditional information to the user and to help the user make faster andmore informed decisions in selecting resource content elements to add tocanvas section 44A, as described in more detail below.

The user may select from among the resource content elements presentedin resource section 42A to add to canvas section 44A, thereby makingthose resource content elements dashboard content elements in canvassection 44A, such as dashboard content element 54A as depicted in FIG.3, to go into the dashboard once canvas section 44A is finalized. A“dashboard content element” may be any resource content element, asdescribed above, that is added to the canvas section 44A in dashboardassembly user interface 40A and thereby added to a BI dashboard thatresults from the assembly of the canvas section 44A. The user may alsomodify or rearrange the dashboard content elements within canvas section44A. While canvas section 44A is depicted comprising only a singledashboard content element 54A in the view presented in FIG. 3, a user islikely to want to populate canvas section 44A with additional dashboardcontent elements to increase the usefulness of the resulting BIdashboard.

Once the user is satisfied for the time being at least with the contentsof canvas section 44A, the user may finalize or save the content andlayout of canvas section 44A as a BI dashboard, for ongoing use as acentralized and convenient interface for understanding and interactingwith data from a variety of sources. A user may use BI dashboardassembly tool 22 again and re-open dashboard assembly user interface 40Aat any point later to reconfigure the contents and layout of the BIdashboard, as the user sees fit. In another mode of operation, canvassection 44A may be continuously automatically saved or finalized, sothat a user may switch at any time from modifying canvas section 44A tousing the contents and layout of canvas section 44A as the BI dashboardwithout having to perform any additional manual action to save orfinalize canvas section 44A. Dashboard assembly user interface 40Atherefore enables resource content elements 46A-52A to be selectablyadded to the canvas section 44A as dashboard content elements, likedashboard content element 54A, in response to user inputs, therebyconfiguring a business intelligence dashboard.

As noted above, BI dashboard assembly tool 22 also provides certainmodifications to the renderings of resource content elements 46A-52A toprovide additional information to the user, in the form of badges 60A,60B, 60C, 62A, 62B, and 62C (i.e., badges 60A-62C) as depicted in FIG.3. BI dashboard assembly tool 22 searches for relationships betweeninformation associated with various resource content elements, such asresource content elements 46A-52A, and information associated with thedashboard content elements already included on the canvas section, suchas dashboard content element 54A. This information may include data ormetadata included in or provided by the resources associated with therespective resource content elements and dashboard content elements, ora variety of other types of information, which are elaborated on below.BI dashboard assembly tool 22 then renders visual indications of therelationships it finds between any one of the resource content elements46A-52A and the dashboard content element 54A. These visual indicationsof the relationships may be rendered in the form of “badges” 60A-60C and62A-62C on various elements in dashboard assembly user interface 40A,including resource content elements 46A, 48A, 50A, 52A and dashboardcontent element 54A, as depicted in FIG. 3, in an illustrative example.

In particular, badges 60A, 60B, and 60C, represented in FIG. 3 as smallsquare-shaped icons, are visual indications of a relationship that BIdashboard assembly tool 22 has discovered among information associatedwith resource content element 46A, resource content element 52A, anddashboard content element 54A. This relationship may be, for example,identical or similar elements of data or metadata among the reports,software applications, widgets, or other resources represented byresource content element 46A, resource content element 52A, anddashboard content element 54A. BI dashboard assembly tool 22 may use anyof a variety of searching, indexing, or comparing methods to search outthese relationships. For example, BI dashboard assembly tool 22 maymaintain access to a search index of relevant data, metadata, useraccess history, and other relevant information related to the dashboardcontent elements, and may also maintain or build a similar search indexfor information related to the resource content elements.

BI dashboard assembly tool 22 also discovers another relationship, arelationship among resource content element 46A, resource contentelement 48A, and dashboard content element 54A. BI dashboard assemblytool 22 provides visual indications of this relationship with badges62A, 62B, and 62C, represented in FIG. 3 as small triangle-shaped iconsin dashboard assembly user interface 40A. In particular, BI dashboardassembly tool 22 renders badge 62A in resource content element 46A,badge 62B in resource content element 48A, and badge 62C in dashboardcontent element 54A.

With visual indications such as badges 60A-60C and 62A-62C rendered indashboard assembly user interface 40A, a user is quickly and clearlynotified of relationships that various options in resource section 42Ahave with the content already in the canvas section 44A for assemblingthe user's dashboard—relationships that the user may find useful indeciding which of resource content elements 46A-52A would make usefuladditions to the user's dashboard. In particular, BI dashboard assemblytool 22 visually indicates that resource content element 46A has twoparticular relationships with dashboard content element 54A, and thatresource content elements 48A and 52A each have one particularrelationships with dashboard content element 54A. BI dashboard assemblytool 22 may also provide additional details, such as in mouse-overmetadata or a sidebar menu, about what type of relationship it is or howstrong a relationship it is, e.g. how much data or metadata the twoelements have in common or the magnitude of some other relevant metricof relationship importance.

BI dashboard assembly tool 22 therefore visually reveals relationshipconnection points while in dashboard assembly mode. When the dashboardassembly mode is invoked, the BI dashboard assembly tool 22 determinespossible relationships in each piece of content on the dashboard anddisplays visual indications thereof. A user may then perform some simpleaction to select one or more resource content elements to add to thecanvas section 44A, such as by selecting a resource content element anddragging and dropping it into the canvas section 44A, for example. Auser may also perform or select additional actions for searching,navigating among, filtering, sorting, or otherwise manipulating resourcecontent elements in resource section 42A or in other interface formatsthat may potentially be fed into resource section 42A.

While one illustrative example of providing visual indications ofrelationships among content elements is depicted in FIG. 3, BI dashboardassembly tool 22 may also provide visual indications of relationshipsamong content elements in or proximate to potential resource contentelements in any of a variety of folders, tabs, windows, command-lineinterfaces, or other interface elements that a user may employ to searchor navigate for potential resource content elements. For example, in acommand-line interface or other form of text interface where graphicalelements are not possible, BI dashboard assembly tool 22 may insertparticular distinctive text sequences as symbolic visual indications ofrelationships that resource content elements are found to have withdashboard content elements in dashboard section 44A. A user may repeatany number of times a process of searching for and opening groups orfolders or directories of resource content elements in resource section42A from various sources, then selecting from among resource contentelements displayed in resource section 42A to add as new dashboardelements in canvas section 44A. A user may also remove dashboardelements from canvas section 44A or rearrange or modify the dashboardelements in canvas section 44A, for example.

While a small number of badges and resource content elements and onlyone dashboard content element are depicted in dashboard assembly userinterface 40A, a dashboard assembly user interface may accommodate awide range of numbers of resource content elements, dashboard contentelements, and badges or other forms of visual indications ofrelationships found between resource content elements and dashboardcontent elements. Additionally, BI dashboard assembly tool 22 may haveaccess to an extremely large number of possible resources, and maydisplay a number of resource content elements at any one time that onlyrepresents a small fraction of the total possible resources available.BI dashboard assembly tool 22 may perform further intelligent functionsto assist a user in dealing with such a large number of potentialoptions, such as using the relationships it discovers to select, filter,or sort the resource content elements it displays or suggests fordisplay in the resource section of a dashboard assembly user interface,as is described further below.

FIG. 4 depicts dashboard assembly user interface 40B as anotherillustrative example, which is similar to dashboard assembly userinterface 40A of FIG. 3 except that additional material now appears indashboard assembly user interface 40B. In particular, a user has added asecond dashboard content element 56A to the canvas section, now labeledcanvas section 44B to distinguish it from canvas section 44A as itappears in FIG. 3 without the added material. Resource content elements46A and 50A and badges 60A, 60B, 60C, 62A, 62B, and 62C also appear indashboard assembly user interface 40B just as they do in dashboardassembly user interface 40A of FIG. 3. Dashboard assembly user interface40B also differs from FIG. 3 though in that BI dashboard assembly tool22 has also searched for relationships between information associatedwith the resource content elements and the newly added dashboard contentelement 56A, and added new visual indications of relationships relevantto dashboard content element 56A.

In particular, BI dashboard assembly tool 22 has found that therelationship represented by badges 62A-62C also applies to dashboardcontent element 56A, and added a badge 62D, in the form of anothertriangle-shaped icon, to the visual rendering of dashboard contentelement 56A. Additionally, BI dashboard assembly tool 22 has found a newrelationship that exists among some of the resource content elements andthe newly added dashboard content element 56A, and added a new badge, inthe form of a small circle-shaped icon, to the applicable contentelements. This new badge is added as badges 64A and 64B to resourcecontent elements 48B and 52B, respectively, i.e., the same resourcecontent element labeled 48A and 52A in FIG. 3 except with the additionof badges 64A and 64B. A matching badge is also added as a visualindication of this relationship in dashboard content element 56A. Whiledifferent simple shapes are used for the badges or visual indications inthe examples of FIGS. 3 and 4, visual indications may also use differentcolors, patterns, words, and any type of differentiating designs invarious examples.

The dashboard assembly user interface 40B is therefore updated with newinformation to reflect newly applicable relationships as the usermodifies the contents of dashboard assembly user interface 40B. In thisway, BI dashboard assembly tool 22 continues to provide updated visualindications of information relevant to what content elements may beuseful for the user to add to the dashboard being assembled orreconfigured in canvas section 44B, as well as how the dashboard contentelements may be best arranged within canvas section 44B.

BI dashboard assembly tool 22 thereby quickly and automatically providesvisual indications of relationships that a user would likely otherwisehave to hunt for through a time-consuming manual search or by reviewingand comparing pre-existing dashboards already manually prepared by otherusers, increasingly impractical in many BI systems given the largeamount of resource contents and users' dashboards that may already existand the likely dissimilarity of other users' dashboards to the needs ofany given user. Instead, given the visual indications of relationshipsamong contents such as those shown in FIGS. 3 and 4, a user can rapidlymake better decisions as to content the user adds to a dashboard, andmore quickly build up a higher quality dashboard, with a readyunderstanding of the relationships among all the dashboard contentelements.

FIGS. 5 and 6 depict a different example of a dashboard assembly userinterface that is identical to those depicted in FIGS. 3 and 4 exceptusing connecting lines, instead of badges, as a different form of visualindications of the relationships between information associated with thevarious resource content elements and dashboard content elements.Specifically, FIG. 5 depicts dashboard assembly user interface 40C thatincludes canvas section 44C and resource section 42C. Canvas section 44Aincludes dashboard content element 54C, while resource section 42Cpresents resource content elements 46C, 48C, 50C, and 52C (i.e. resourcecontent elements 46C-52C) from a variety of different sources as optionsthat may be added to canvas section 44C.

Once BI dashboard assembly tool 22 has searched out and determined therelationships between information associated with the resource contentelements and information associated with the dashboard content elements,BI dashboard assembly tool 22 modifies the rendering of dashboardassembly user interface 40C to display connecting lines 60D and 60E of afirst color or style connecting resource content elements 46C and 52C,respectively, to dashboard content element 54C; and to displayconnecting lines 62E and 62F of a second color or style connectingresource content elements 46C and 48C, respectively, to dashboardcontent element 54C. The visual indications in this case are thereforeprovided in a form that is proximate to the relevant resource contentelements and dashboard content element, and that extends between them,rather than being rendered in or on top of the content elementsthemselves. The user is thus provided with visual indications ofrelevant relationships among content elements that assist the user inselecting from among resource content elements 46C-52C to group withdashboard content element 54C in canvas section 44C for building up orreconfiguring a BI dashboard.

Dashboard assembly user interface 40D of FIG. 6 is identical todashboard assembly user interface 40C of FIG. 5 except for the additionof a new dashboard content element 56C and further connecting lines toserve as visual indications of new relationships. (The resource contentelements 46C-52C and dashboard content element 54C are labeled the samein FIG. 6 as in FIG. 5 since the visual indications are displayedproximate to and between the content elements in this example, ratherthan in or on top of or otherwise modifying the content elementsthemselves.) With newly added dashboard content element 56C, BIdashboard assembly tool 22 may perform a new search for relationshipsrelevant to this newly added dashboard content, or may already havesearch results saved for dashboard content element 56C and the availableor potentially relevant resource content elements, in differentexamples.

BI dashboard assembly tool 22 displays new connecting lines 62G and 62Hfrom resource content elements 46C and 48C, respectively, leading todashboard content element 56C, to serve as visual indications of onerelationship between the information that these content elements have incommon; and new connecting lines 64D and 64E from resource contentelements 48C and 52C, respectively, leading to dashboard content element56C, to serve as visual indications of a different relationship betweenthe information that these content elements have in common. A connectingline 62J is also displayed between the two dashboard content elements54C and 56C to serve as a visual indication of the relationship betweenthe information that these have in common, which may be useful to a userin arranging the dashboard content elements on the canvas section. Thismay be particularly useful for a dashboard that is large and complicatedwith many dashboard content elements, to provide the user with visualindications useful for grouping dashboard content elements with aspectsin common together or otherwise configuring the dashboard contentelements in a logical or useful arrangement.

As noted above, BI dashboard assembly tool 22 may use any of a varietyof techniques for searching for relationships between informationassociated with the one or more resource content elements andinformation associated with the one or more dashboard content elements.For example, this may include searching data and/or metadata in the oneor more resource content elements and the one or more dashboard contentelements, and analyzing for relationships in the data and/or metadata inthe one or more resource content elements and the one or more dashboardcontent elements.

These relationships in the data or metadata may take any of variousforms. For example, analyzing for relationships may include analyzingwhether any data comprised in any of the resource content elements isthe same as any data comprised in any of the dashboard content elements.This may include, for example, data on the same countries, the samestates or provinces, or the same cities or other geographical areas,from across different BI reports, different software applications,different databases, different spreadsheets, different news sources, orother types of resources. This may also include, for example, data onthe same years or quarters or other temporal divisions, also across anyof various resources.

Analyzing for relationships among the various content elements may alsoinclude analyzing whether any data comprised in any one of the resourcecontent elements is complementary data in the same category as any datacomprised in any of the dashboard content elements. For example, thismay include sales data from two different years, such as 2007 and 2008,such as from different BI reports from the two different years. In thiscase, the category of data is sales data, and data in this category fromdifferent years are complementary.

In another example, analyzing for relationships among the variouscontent elements may also include analyzing whether any data comprisedin any one of the resource content elements originates from the samedimension in a model as any data comprised in any of the dashboardcontent elements, such as with different dimensions in an OLAP datacube. As a particular example, a dashboard content element may includeor be associated with data related to units sold, while one or moreresource content elements may include or be associated with data relatedto unit cost, related to the same type of units, where units sold andunit cost are both categories of data that originate from the salesdimension of an OLAP data cube.

Analyzing for relationships among the various content elements mayfurther include analyzing whether various resource and dashboard contentelements are used together as dashboard content elements on one or moreother users' dashboards, for example. In this case, the number orproportion of other users' dashboards that include those contentelements together may also be used as one indicator of strength of therelationship between those content elements. As yet another example, forcontent elements that take the form of widgets that display updated datawithin the content element in the dashboard, analyzing for relationshipsmay include analyzing whether any of the widgets are publishers orsubscribers to the same events.

The particular nature or strength of any of these relationships may alsobe indicated in or along with the visual indications, such as the badgesor connecting lines, as shown in FIGS. 3-6. That is, some aspect, suchas the color or design, of the badges, connecting lines, or other visualindications may include variations that convey information about thenature or strength of these relationships. Information of this sort mayalso be explicitly asserted with textual captions or summaries, eitherin or proximate to the visual indications, in mouse-over text or othermetadata associated with them, in a sidebar menu, or in another format.

Indicated relationships may or may not result in special behavior when aresource content element is added to the canvas section to be added tothe dashboard. For example, an indicated relationship in the data of thecontent elements, such as two content elements that both show or haveassociated “country” values, could result in the BI dashboard assemblytool 22 automatically generating a filter control for countries whichcould be used to filter both content elements on the dashboard. However,in another example, a relationship indicating simply that another userof the system had also added a specific item from the resource sectionto their dashboard, may not result in any special behavior between thecontent when added to the canvas section, or added to the dashboard.

In yet another example, a relationship that shows that one widget firesan event and another widget listens to that event may be used so thatwhen both widgets are added to the canvas section to be includedtogether in a dashboard, BI dashboard assembly tool 22 does initiate aspecial behavior. For example, two content elements added to thedashboard may be an RSS feed viewer and a web page viewer, where the RSSfeed viewer may fire an event that the web page viewer listens to,thereby showing the details of a news feed. BI dashboard assembly tool22 may also use events as another mode for analyzing for relationshipsamong information associated with various content elements, such as bysearching events indicated in the resource content elements and thedashboard content elements, and analyzing for relationships among theevents indicated in the resource content elements and among the eventsindicated in the dashboard content elements. This may include eventsthat the content elements or their associated contents initiate orlisten to, for example. This may further include analyzing whether anyof the resource content elements and any of the dashboard contentelements publish to any of the same events or subscribe to any of thesame events, for example.

Searching for relationships between information associated with theresource content elements and information associated with the dashboardcontent elements may also include searching a record of userinteractions with the resource content elements and user interactionswith the dashboard content elements, and analyzing for relationshipsbetween the user interactions with the one or more resource contentelements and the user interactions with the one or more dashboardcontent elements. For example, BI dashboard assembly tool 22 may analyzewhether there is a consistent pattern of the user interacting withresources or information associated with a particular resource contentelement, and interacting with a pre-existing dashboard content elementon the user's dashboard, within similar or overlapping periods of time.

As noted above, various resource content elements may be drawn fromcontent elements within an enterprise business intelligence system, andfrom content elements from external data sources that are external tothe enterprise business intelligence system. The content elements fromwithin the enterprise business intelligence system may include, forexample, representations of reports generated with a multidimensionalbusiness intelligence data access service comprised in the enterprisebusiness intelligence system, while the external data sources mayinclude reports; widgets; software applications; databases;spreadsheets; news feeds; weather reports; stock market tickers, ortickers for other markets such as indexes, bonds, commodities, mutualfunds, exchange traded funds (ETFs), real estate investment trusts(REITs), etc.; or any other data source or resource (with the itemslisted not being mutually exclusive, e.g. a stock market ticker resourcemay take the form of a widget).

Also as noted above, BI dashboard assembly tool 22 may also provideoptions for sorting or filtering the resource content elements. Forexample, BI dashboard assembly tool 22 may enable an option for removingfrom the resource section any resource content elements found not tohave a relationship with any of the dashboard content elements comprisedin the canvas section. So, for example, in FIG. 3, with this optionenabled, after BI dashboard assembly tool 22 discovers the relationshipsbetween the resource content elements 46A, 48A, and 52A with thedashboard content element 54A, as visually indicated with badges 60A-60Cand 62A-62C, BI dashboard assembly tool 22 may also remove resourcecontent element 50A from resource section 42A. BI dashboard assemblytool 22 may also take advantage of space thus freed up in the resourcesection by adding any additional resource content elements that do haveone or more relationships with any dashboard content elements in thecanvas section.

BI dashboard assembly tool 22 may also enable a user-selectable filteroption to filter the resource content elements by one or more selectedtypes of relationships. In response to receiving a user input via theuser-selectable filter option, BI dashboard assembly tool 22 may removeany resource content elements found not to have one of the selectedtypes of relationships with any of the dashboard content elementscomprised in the canvas section. For example, a user may select tofilter only by content elements that have the same type of data, or bycontent elements that have previously been grouped together in a certainother user's dashboard.

BI dashboard assembly tool 22 may also enable a user-selectable sortoption to sort the resource content elements by a number ofrelationships or a criterion indicating strength of relationships withthe dashboard content elements comprised in the canvas section. Inresponse to receiving a user input via the user-selectable sort option,BI dashboard assembly tool 22 may sort the resource content elements inthe resource section in accordance with the number of relationships or acriterion indicating strength of relationships with the dashboardcontent elements comprised in the canvas section, in accordance with theuser-selected options. The criterion indicating the strength of therelationships may include the number of data elements in common, or thenumber of existing dashboards in the enterprise BI system that alreadyhave any two content elements included together, as examples.

FIG. 7 is a flowchart illustrating an example process 70 that may beperformed by a BI dashboard assembly tool 22. Although described inreference to enterprise business intelligence system 14 of FIG. 2 and BIdashboard assembly tool 22 as depicted in FIG. 2 and described inconnection with FIGS. 2-6, the principles of the invention should not belimited to the described embodiments and may be applied to any systemfor a BI dashboard assembly tool is capable of searching data sourcesand facilitating assembly or configuration of a BI dashboard.

As shown in FIG. 7, BI dashboard assembly tool 22 renders a dashboardassembly user interface comprising a canvas section and a resourcesection, the resource section comprising one or more resource contentelements, and the canvas section comprising one or more dashboardcontent elements, wherein the dashboard assembly user interface enablesresource content elements to be selectably added to the canvas sectionas dashboard content elements in response to user inputs, therebyconfiguring a business intelligence dashboard (72). BI dashboardassembly tool 22 searches for relationships between informationassociated with the one or more resource content elements andinformation associated with the one or more dashboard content elements(74). For a first resource content element from among the resourcecontent elements that has a relationship with a first dashboard contentelement from among the dashboard content elements, BI dashboard assemblytool 22 renders a visual indication of the relationship between thefirst resource content element and the first dashboard content element(76). BI dashboard assembly tool 22 may further render visualrelationships between any pairs of resource content elements anddashboard content elements as appropriate to provide useful informationon these relationships in a dashboard assembly user interface.

The techniques described herein make reference to business intelligencereports generated with the MDX query language and the SQL querylanguage, as illustrative examples of a multidimensional data querylanguage and a relational database query language, respectively.However, the techniques described herein may be applied to reportsgenerated with any other structured language or tool capable of queryingany type of data structures, or with any type of query result set or anyother type of data.

FIG. 8 is a block diagram of a computing device 80 that may be used torun a BI dashboard assembly tool, according to an illustrative example.Computing device 80 may be a workstation, server, mainframe computer,notebook or laptop computer, desktop computer, tablet, smartphone,feature phone, or other programmable data processing apparatus of anykind Other possibilities for computing device 80 are possible, includinga computer having capabilities or formats other than or beyond thosedescribed herein.

In this illustrative example, computing device 80 includescommunications fabric 82, which provides communications betweenprocessor unit 84, memory 86, persistent data storage 88, communicationsunit 90, and input/output (I/O) unit 92. Communications fabric 82 mayinclude a dedicated system bus, a general system bus, multiple busesarranged in hierarchical form, any other type of bus, bus network,switch fabric, or other interconnection technology. Communicationsfabric 82 supports transfer of data, commands, and other informationbetween various subsystems of computing device 80.

Processor unit 84 may be a programmable central processing unit (CPU)configured for executing programmed instructions stored in memory 86. Inanother illustrative example, processor unit 84 may be implemented usingone or more heterogeneous processor systems in which a main processor ispresent with secondary processors on a single chip. In yet anotherillustrative example, processor unit 84 may be a symmetricmulti-processor system containing multiple processors of the same type.Processor unit 84 may be a reduced instruction set computing (RISC)microprocessor such as a PowerPC® processor from IBM® Corporation, anx86 compatible processor such as a Pentium® processor from Intel®Corporation, an Athlon® processor from Advanced Micro Devices®Corporation, or any other suitable processor. In various examples,processor unit 84 may include a multi-core processor, such as a dualcore or quad core processor, for example. Processor unit 84 may includemultiple processing chips on one die, and/or multiple dies on onepackage or substrate, for example. Processor unit 84 may also includeone or more levels of integrated cache memory, for example. In variousexamples, processor unit 84 may comprise one or more CPUs distributedacross one or more locations.

Data storage 96 includes memory 86 and persistent data storage 88, whichare in communication with processor unit 84 through communicationsfabric 82. Memory 86 can include a random access semiconductor memory(RAM) for storing application data, i.e., computer program data, forprocessing. While memory 86 is depicted conceptually as a singlemonolithic entity, in various examples, memory 86 may be arranged in ahierarchy of caches and in other memory devices, in a single physicallocation, or distributed across a plurality of physical systems invarious forms. While memory 86 is depicted physically separated fromprocessor unit 84 and other elements of computing device 80, memory 86may refer equivalently to any intermediate or cache memory at anylocation throughout computing device 80, including cache memoryproximate to or integrated with processor unit 84 or individual cores ofprocessor unit 84.

Persistent data storage 88 may include one or more hard disc drives,solid state drives, flash drives, rewritable optical disc drives,magnetic tape drives, or any combination of these or other data storagemedia. Persistent data storage 88 may store computer-executableinstructions or computer-readable program code for an operating system,application files comprising program code, data structures or datafiles, and any other type of data. These computer-executableinstructions may be loaded from persistent data storage 88 into memory86 to be read and executed by processor unit 84 or other processors.Data storage 96 may also include any other hardware elements capable ofstoring information, such as, for example and without limitation, data,program code in functional form, and/or other suitable information,either on a temporary basis and/or a permanent basis.

Persistent data storage 88 and memory 86 are examples of physical,tangible, non-transitory computer-readable data storage devices. Datastorage 96 may include any of various forms of volatile memory that mayrequire being periodically electrically refreshed to maintain data inmemory, but those skilled in the art will recognize that this alsoconstitutes an example of a physical, tangible, non-transitorycomputer-readable data storage device. Executable instructions arestored on a non-transitory medium when program code is loaded, stored,relayed, buffered, or cached on a non-transitory physical medium ordevice, including if only for only a short duration or only in avolatile memory format.

Processor unit 84 can also be suitably programmed to read, load, andexecute computer-executable instructions or computer-readable programcode for a BI dashboard assembly tool that may search for and rendervisual indications of relationships among resource content elements anddashboard content elements, to assist a user in assembling orconfiguring a BI dashboard, as described in greater detail above. Thisprogram code may be stored on memory 86, persistent data storage 88, orelsewhere in computing device 80. This program code may also take theform of program code 104 stored on computer-readable medium 102comprised in computer program product 100, and may be transferred orcommunicated, through any of a variety of local or remote means, fromcomputer program product 100 to computing device 80 to be enabled to beexecuted by processor unit 84, as further explained below.

The operating system may provide functions such as device interfacemanagement, memory management, and multiple task management. Theoperating system can be a Unix based operating system such as the AIX®operating system from IBM® Corporation, a non-Unix based operatingsystem such as the Windows® family of operating systems from Microsoft®Corporation, a network operating system such as JavaOS® from Oracle®Corporation, a mobile device operating system such as iOS® from Apple®Inc., or any other suitable operating system. Processor unit 84 can besuitably programmed to read, load, and execute instructions of theoperating system.

Communications unit 90, in this example, provides for communicationswith other computing or communications systems or devices.Communications unit 90 may provide communications through the use ofphysical and/or wireless communications links. Communications unit 90may include a network interface card for interfacing with a LAN 16, anEthernet adapter, a Token Ring adapter, a modem for connecting to atransmission system such as a telephone line, or any other type ofcommunication interface. Communications unit 90 can be used foroperationally connecting many types of peripheral computing devices tocomputing device 80, such as printers, bus adapters, and othercomputers. Communications unit 90 may be implemented as an expansioncard or be built into a motherboard, for example.

The input/output unit 92 can support devices suited for input and outputof data with other devices that may be connected to computing device 80,such as keyboard, a mouse or other pointer, a touchscreen interface, aninterface for a printer or any other peripheral device, a removablemagnetic or optical disc drive (including CD-ROM, DVD-ROM, or Blu-Ray),a universal serial bus (USB) receptacle, or any other type of inputand/or output device. Input/output unit 92 may also include any type ofinterface for video output in any type of video output protocol and anytype of monitor or other video display technology, in various examples.It will be understood that some of these examples may overlap with eachother, or with example components of communications unit 90 or datastorage 96. Input/output unit 92 may also include appropriate devicedrivers for any type of external device, or such device drivers mayreside elsewhere on computing device 80 as appropriate.

Computing device 80 also includes a display adapter 94 in thisillustrative example, which provides one or more connections for one ormore display devices, such as display device 98, which may include anyof a variety of types of display devices. It will be understood thatsome of these examples may overlap with example components ofcommunications unit 90 or input/output unit 92. Input/output unit 92 mayalso include appropriate device drivers for any type of external device,or such device drivers may reside elsewhere on computing device 80 asappropriate. Display adapter 94 may include one or more video cards, oneor more graphics processing units (GPUs), one or more video-capableconnection ports, or any other type of data connector capable ofcommunicating video data, in various examples. Display device 98 may beany kind of video display device, such as a monitor, a television, or aprojector, in various examples.

Input/output unit 92 may include a drive, socket, or outlet forreceiving computer program product 100, which comprises acomputer-readable medium 102 having computer program code 104 storedthereon. For example, computer program product 100 may be a CD-ROM, aDVD-ROM, a Blu-Ray disc, a magnetic disc, a USB stick, a flash drive, oran external hard disc drive, as illustrative examples, or any othersuitable data storage technology.

Computer-readable medium 102 may include any type of optical, magnetic,or other physical medium that physically encodes program code 104 as abinary series of different physical states in each unit of memory that,when read by computing device 80, induces a physical signal that is readby processor 84 that corresponds to the physical states of the basicdata storage elements of storage medium 102, and that inducescorresponding changes in the physical state of processor unit 84. Thatphysical program code signal may be modeled or conceptualized ascomputer-readable instructions at any of various levels of abstraction,such as a high-level programming language, assembly language, or machinelanguage, but ultimately constitutes a series of physical electricaland/or magnetic interactions that physically induce a change in thephysical state of processor unit 84, thereby physically causingprocessor unit 84 to generate physical outputs that correspond to thecomputer-executable instructions, in a way that causes computing device80 to physically assume new capabilities that it did not have until itsphysical state was changed by loading the executable instructionscomprised in program code 104.

In some illustrative examples, program code 104 may be downloaded over anetwork to data storage 96 from another device or computer system foruse within computing device 80. Program code 104 comprisingcomputer-executable instructions may be communicated or transferred tocomputing device 80 from computer-readable medium 102 through ahard-line or wireless communications link to communications unit 90and/or through a connection to input/output unit 92. Computer-readablemedium 102 comprising program code 104 may be located at a separate orremote location from computing device 80, and may be located anywhere,including at any remote geographical location anywhere in the world, andmay relay program code 104 to computing device 80 over any type of oneor more communication links, such as the Internet and/or other packetdata networks. The program code 104 may be transmitted over a wirelessInternet connection, or over a shorter-range direct wireless connectionsuch as wireless LAN, Bluetooth™, Wi-Fi™, or an infrared connection, forexample. Any other wireless or remote communication protocol may also beused in other implementations.

The communications link and/or the connection may include wired and/orwireless connections in various illustrative examples, and program code104 may be transmitted from a source computer-readable medium 102 overnon-tangible media, such as communications links or wirelesstransmissions containing the program code 104. Program code 104 may bemore or less temporarily or durably stored on any number of intermediatetangible, physical computer-readable devices and media, such as anynumber of physical buffers, caches, main memory, or data storagecomponents of servers, gateways, network nodes, mobility managemententities, or other network assets, en route from its original sourcemedium to computing device 80.

As will be appreciated by one skilled in the art, aspects of the presentinvention may be embodied as a method, a device, a system, or a computerprogram product, for example. Accordingly, aspects of the presentinvention may take the form of an entirely hardware embodiment, anentirely software embodiment (including firmware, resident software,micro-code, etc.) or an embodiment combining software and hardwareaspects that may all generally be referred to herein as a “circuit,”“module” or “system.” Furthermore, aspects of the present invention maytake the form of a computer program product embodied in one or morecomputer-readable data storage devices or computer-readable data storagecomponents that include computer-readable medium(s) having computerreadable program code embodied thereon. For example, a computer-readabledata storage device may be embodied as a tangible device that mayinclude a tangible, non-transitory data storage medium, as well as acontroller configured for receiving instructions from a resource such asa central processing unit (CPU) to retrieve information stored at one ormore particular addresses in the tangible, non-transitory data storagemedium, and for retrieving and providing the information stored at thoseparticular one or more addresses in the data storage medium.

The data storage device may store information that encodes bothinstructions and data, for example, and may retrieve and communicateinformation encoding instructions and/or data to other resources such asa CPU, for example. The data storage device may take the form of a mainmemory component such as a hard disc drive or a flash drive in variousembodiments, for example. The data storage device may also take the formof another memory component such as a RAM integrated circuit or a bufferor a local cache in any of a variety of forms, in various embodiments.This may include a cache integrated with a controller, a cacheintegrated with a graphics processing unit (GPU), a cache integratedwith a system bus, a cache integrated with a multi-chip die, a cacheintegrated within a CPU, or the processor registers within a CPU, asvarious illustrative examples. The data storage apparatus or datastorage system may also take a distributed form such as a redundantarray of independent discs (RAID) system or a cloud-based data storageservice, and still be considered to be a data storage component or datastorage system as a part of or a component of an embodiment of a systemof the present disclosure, in various embodiments.

Any combination of one or more computer readable medium(s) may beutilized. The computer readable medium may be a computer readable signalmedium or a computer readable storage medium. A computer readablestorage medium may be, for example, but is not limited to, anelectronic, magnetic, optical, electromagnetic, infrared, electro-optic,heat-assisted magnetic, or semiconductor system, apparatus, or device,or any suitable combination of the foregoing. A non-exhaustive list ofadditional specific examples of a computer readable storage mediumincludes the following: an electrical connection having one or morewires, a portable computer diskette, a hard disc, a random access memory(RAM), a read-only memory (ROM), an erasable programmable read-onlymemory (EPROM or Flash memory), an optical fiber, a portable compactdisc read-only memory (CD-ROM), an optical storage device, a magneticstorage device, or any suitable combination of the foregoing. In thecontext of this document, a computer readable storage medium may be anytangible medium that can contain or store a program for use by or inconnection with an instruction execution system, apparatus, or device,for example.

Program code embodied on a computer readable medium may be transmittedusing any appropriate medium, including but not limited to radiofrequency (RF) or other wireless, wireline, optical fiber cable, etc.,or any suitable combination of the foregoing. Computer program code forcarrying out operations for aspects of the present invention may bewritten in any combination of one or more programming languages,including an object oriented programming language such as Java,Smalltalk, C++, Objective-C, or the like, or other imperativeprogramming languages such as C, or functional languages such as CommonLisp, Haskell, or Clojure, or multi-paradigm languages such as C#,Python, Ruby, or Scala, among a variety of illustrative examples. One ormore sets of applicable program code may execute partly or entirely onthe user's desktop or laptop computer, smartphone, tablet, or othercomputing device; as a stand-alone software package, partly on theuser's computing device and partly on a remote computing device; orentirely on one or more remote servers or other computing devices, amongvarious examples. In the latter scenario, the remote computing devicemay be connected to the user's computing device through any type ofnetwork, including a local area network (LAN) or a wide area network(WAN), or the connection may be made to an external computer (forexample, through a public network such as the Internet using an InternetService Provider), and for which a virtual private network (VPN) mayalso optionally be used.

In various illustrative embodiments, various computer programs, softwareapplications, modules, or other software elements may be executed inconnection with one or more user interfaces being executed on a clientcomputing device, that may also interact with one or more web serverapplications that may be running on one or more servers or otherseparate computing devices and may be executing or accessing othercomputer programs, software applications, modules, databases, datastores, or other software elements or data structures. A graphical userinterface may be executed on a client computing device and may accessapplications from the one or more web server applications, for example.Various content within a browser or dedicated application graphical userinterface may be rendered or executed in or in association with the webbrowser using any combination of any release version of HTML, CSS,JavaScript, XML, AJAX, JSON, and various other languages ortechnologies. Other content may be provided by computer programs,software applications, modules, or other elements executed on the one ormore web servers and written in any programming language and/or using oraccessing any computer programs, software elements, data structures, ortechnologies, in various illustrative embodiments.

Aspects of the present invention are described herein with reference toflowchart illustrations and/or block diagrams of methods, apparatus(systems) and computer program products according to embodiments of theinvention. It will be understood that each block of the flowchartillustrations and/or block diagrams, and combinations of blocks in theflowchart illustrations and/or block diagrams, can be implemented bycomputer program instructions. These computer program instructions maybe provided to a processor of a general purpose computer, specialpurpose computer, or other programmable data processing apparatus toproduce a machine, such that the instructions, which execute via theprocessor of the computer or other programmable data processingapparatus, may create means for implementing the functions/actsspecified in the flowchart and/or block diagram block or blocks.

These computer program instructions may also be stored in a computerreadable medium that can direct a computer, other programmable dataprocessing apparatus, or other devices to function in a particularmanner, such that the instructions stored in the computer readablemedium produce an article of manufacture including instructions whichimplement the function/act specified in the flowchart and/or blockdiagram block or blocks. The computer program instructions may also beloaded onto a computer, other programmable data processing apparatus, orother devices to cause a series of operational steps to be performed onthe computer, other programmable apparatus or other devices, to producea computer implemented process such that the instructions which executeon the computer or other programmable apparatus provide or embodyprocesses for implementing the functions or acts specified in theflowchart and/or block diagram block or blocks.

The flowchart and block diagrams in the figures illustrate thearchitecture, functionality, and operation of possible implementationsof devices, methods and computer program products according to variousembodiments of the present disclosure. In this regard, each block in theflowchart or block diagrams may represent a module, segment, or portionof code, which includes one or more executable instructions forimplementing the specified logical function(s). It should also be notedthat, in some alternative implementations, the functions noted in theblock may occur out of the order noted in the figures. For example, twoblocks shown in succession may, in fact, be executed substantiallyconcurrently, or the blocks may be executed in a different order, or thefunctions in different blocks may be processed in different but parallelthreads, depending upon the functionality involved. Each block of theblock diagrams and/or flowchart illustration, and combinations of blocksin the block diagrams and/or flowchart illustration, may be implementedby special purpose hardware-based systems that perform the specifiedfunctions or acts, or combinations of special purpose hardware andcomputer instructions.

The description of the present disclosure has been presented forpurposes of illustration and description, and is not intended to beexhaustive or limited to the disclosure in the form disclosed. Manymodifications and variations will be understood by those of ordinaryskill in the art based on the concepts disclosed herein. The particularexamples described were chosen and disclosed in order to explain theprinciples of the disclosure and example practical applications, and toenable others of ordinary skill in the art to understand the disclosurefor various embodiments with various modifications as are suited to theparticular use contemplated. The various examples described herein andother embodiments are within the scope of the following claims.

What is claimed is:
 1. A method, performed by one or more processors,comprising: rendering a dashboard assembly user interface comprising acanvas section and a resource section, the resource section comprisingone or more resource content elements, and the canvas section comprisingone or more dashboard content elements, wherein the dashboard assemblyuser interface enables resource content elements to be selectably addedto the canvas section as dashboard content elements in response to userinputs, thereby configuring a business intelligence dashboard; searchingfor one or more relationships between information associated with theone or more resource content elements and information associated withthe one or more dashboard content elements, wherein searching for theone or more relationships comprises analyzing whether any data comprisedin the one or more resource content elements is at least one of (i) thesame as, (ii) complementary to and in a same category as, or (iii)originating from a same dimension in a model as any data comprised inthe one or more dashboard content elements; and for a first resourcecontent element from among the one or more resource content elementsthat has a relationship of the one or more relationships with a firstdashboard content element from among the one or more dashboard contentelements, rendering a visual indication of the relationship between thefirst resource content element and the first dashboard content element,wherein the visual indication of the relationship indicates at least astrength of the relationship between the first resource content elementand the first dashboard content element.
 2. The method of claim 1,wherein the business intelligence dashboard is a first businessintelligence dashboard within an enterprise business intelligencesystem, and wherein searching for the one or more relationships betweenthe information associated with the one or more resource contentelements and the information associated with the one or more dashboardcontent elements comprises: analyzing whether any of the resourcecontent elements and any of the dashboard content elements are both usedas dashboard content elements on a second business intelligencedashboard within the enterprise business intelligence system.
 3. Themethod of claim 1, wherein searching for the one or more relationshipsbetween the information associated with the one or more resource contentelements and the information associated with the one or more dashboardcontent elements comprises: searching events indicated in the one ormore resource content elements and in the one or more dashboard contentelements; and analyzing for the one or more relationships among theevents indicated in the one or more resource content elements and amongthe events indicated in the one or more dashboard content elements. 4.The method of claim 3, wherein analyzing for the one or morerelationships among the events indicated in the one or more resourcecontent elements and among the events indicated in the one or moredashboard content elements comprises: analyzing whether any of theresource content elements and any of the dashboard content elementspublish to any of the same events or subscribe to any of the sameevents.
 5. The method of claim 1, wherein searching for the one or morerelationships between information associated with the one or moreresource content elements and information associated with the one ormore dashboard content elements comprises: searching a record of userinteractions with the one or more resource content elements and userinteractions with the one or more dashboard content elements; andanalyzing for the one or more relationships between the userinteractions with the one or more resource content elements and the userinteractions with the one or more dashboard content elements.
 6. Themethod of claim 1, wherein rendering the visual indication of therelationship between the first resource content element and the firstdashboard content element comprises: rendering the visual indication ofthe relationship in or proximate to the dashboard assembly userinterface.
 7. The method of claim 1, wherein rendering the visualindication of the relationship between the first resource contentelement and the first dashboard content element comprises: rendering avisual element that connects the first resource content element and thefirst dashboard content element.
 8. The method of claim 1, whereinrendering the visual indication of the relationship between the firstresource content element and the first dashboard content elementcomprises: rendering a first visual indication of the relationship in orproximate to the first resource content element; and rendering a secondvisual indication of the relationship in or proximate to the firstdashboard content element.
 9. The method of claim 8, wherein the secondvisual indication of the relationship matches the first visualindication of the relationship.
 10. The method of claim 1, wherein theone or more resource content elements comprise one or more contentelements from within an enterprise business intelligence system, and oneor more content elements from an external data source that is externalto the enterprise business intelligence system.
 11. The method of claim10, wherein the one or more content elements from within the enterprisebusiness intelligence system comprise one or more representations ofreports generated with a multidimensional business intelligence dataaccess service comprised in the enterprise business intelligence system.12. The method of claim 1, further comprising: removing from theresource section any resource content elements found not to have arelationship with any of the dashboard content elements comprised in thecanvas section.
 13. The method of claim 1, further comprising: enablinga user-selectable filter option to filter the resource content elementsby one or more selected types of relationships, and, in response toreceiving a user input via the user-selectable filter option, removingany resource content elements found not to have one of the selectedtypes of relationships with any of the dashboard content elementscomprised in the canvas section.
 14. The method of claim 1, furthercomprising: enabling a user-selectable sort option to sort the resourcecontent elements by a number of relationships or a criterion indicatingstrength of relationships with the dashboard content elements comprisedin the canvas section, and, in response to receiving a user input viathe user-selectable sort option, sorting resource content elements inthe resource section in accordance with the number of relationships orthe criterion indicating strength of relationships with the dashboardcontent elements comprised in the canvas section.